Evidence map›Paper›PMID 25336848›Full record

ArticleJournal of Ayurveda and integrative medicine2014

Determinants of prakriti, the human constitution types of Indian traditional medicine and its correlation with contemporary science.

Harish Rotti, Ritu Raval, Suchitra Anchan, Ravishankara Bellampalli, Sameer Bhale, Ramachandra Bharadwaj, Balakrishna K Bhat, Amrish P Dedge, Vikram Ram Dhumal, G G Gangadharan and 20 more

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Article in Journal of Ayurveda and integrative medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

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33citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  12. Ayurgenomics and Modern Medicine.Medicina (Kaunas, Lithuania) · 2020
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4 · The record

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5 · Who and what money

Authors and funding

30 authors.

Harish RottiDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Ritu RavalDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Suchitra AnchanDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
Ravishankara BellampalliDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Sameer BhaleDepartment of Biotechnology, Sinhgad College of Engineering, University of Pune, Pune, Maharashtra, India.
Ramachandra BharadwajCentre for Clinical Research, Foundation for Revitalization of Local Health Traditions, Bangalore, Karnataka, India.
Balakrishna K BhatDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
Amrish P DedgeDepartment of Biotechnology, Sinhgad College of Engineering, University of Pune, Pune, Maharashtra, India.
Vikram Ram DhumalDepartment of Biotechnology, Sinhgad College of Engineering, University of Pune, Pune, Maharashtra, India.
G G GangadharanCentre for Clinical Research, Foundation for Revitalization of Local Health Traditions, Bangalore, Karnataka, India.
T K GirijakumariCentre for Clinical Research, Foundation for Revitalization of Local Health Traditions, Bangalore, Karnataka, India.
Puthiya M GopinathDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Periyasamy GovindarajCentre for Cellular and Molecular Biology, Hyderabad, Andhra Pradesh, India.
Swagata HalderInstitute of Vet. Pharmacology and Toxicology, University of Zürich, Switzerland, and Centre for Clinical Research, Institute of Ayurveda and Integrative Medicine, Bangalore, Karnataka, India.
Kalpana S JoshiDepartment of Biotechnology, Sinhgad College of Engineering, University of Pune, Pune, Maharashtra, India.
Shama Prasada KabekkoduDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Archana KamathDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
Paturu KondaiahDepartment of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, Karnataka, India.
Harpreet KukrejaDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.
K L Rajath KumarDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
Sreekumaran NairDepartment of Statistics, Manipal University, Manipal, Karnataka, India.
S N Venugopalan NairCentre for Clinical Research, Foundation for Revitalization of Local Health Traditions, Bangalore, Karnataka, India.
Jayakrishna NayakDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
B V PrasannaDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
M RashmishreeDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
K SharanprasadDepartment of Shalyatantra/Roganidana, Shri Dharmasthala Manjunatheshwara College of Ayurveda, Udupi, Karnataka, India.
Kumarasamy ThangarajCentre for Cellular and Molecular Biology, Hyderabad, Andhra Pradesh, India.
Bhushan PatwardhanInterdisciplinary School of Health Sciences, University of Pune, Pune, Maharashtra, India.
Kapaettu SatyamoorthyDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.
Marthanda Varma Sankaran ValiathanDivision of Biotechnology, School of Life Sciences, Manipal University, Manipal, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConstitutional type of an individual or prakriti is the basic clinical denominator in Ayurveda, which defines physical, physiological, and psychological traits of an individual and is the template for individualized diet, lifestyle counseling, and treatment. The large number of phenotype description by prakriti determination is based on the knowledge and experience of the assessor, and hence subject to inherent variations and interpretations.

objectiveIn this study we have attempted to relate dominant prakriti attribute to body mass index (BMI) of individuals by assessing an acceptable tool to provide the quantitative measure to the currently qualitative ayurvedic prakriti determination. MATERIALS AND

methodsThe study is cross sectional, multicentered, and prakriti assessment of a total of 3416 subjects was undertaken. Healthy male, nonsmoking, nonalcoholic volunteers between the age group of 20-30 were screened for their prakriti after obtaining written consent to participate in the study. The prakriti was determined on the phenotype description of ayurvedic texts and simultaneously by the use of a computer-aided prakriti assessment tool. Kappa statistical analysis was employed to validate the prakriti assessment and Chi-square, Cramer's V test to determine the relatedness in the dominant prakriti to various attributes.

resultsWe found 80% concordance between ayurvedic physician and software in predicting the prakriti of an individual. The kappa value of 0.77 showed moderate agreement in prakriti assessment. We observed a significant correlations of dominant prakriti to place of birth and BMI with Chi-square, P < 0.01 (Cramer's V-value of 0.156 and 0.368, respectively).

conclusionThe present study attempts to integrate knowledge of traditional ayurvedic concepts with the contemporary science. We have demonstrated analysis of prakriti classification and its association with BMI and place of birth with the implications to one of the ways for human classification.

Indexed as

Ayusoftbody mass indexplace of birthPrakriti

Identifiers

PMID25336848
PMCPMC4204287

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